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Poster
Thu 17:00 Globally Optimal Learning for Structured Elliptical Losses
Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel
Poster
Wed 10:45 Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
Poster
Wed 17:00 Probabilistic Logic Neural Networks for Reasoning
Meng Qu · Jian Tang
Spotlight
Wed 10:35 Counting the Optimal Solutions in Graphical Models
Radu Marinescu · Rina Dechter
Spotlight
Wed 10:20 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
Poster
Wed 10:45 Smoothing Structured Decomposable Circuits
Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli
Poster
Wed 10:45 Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
Frederic Koehler
Poster
Wed 10:45 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu · Sujay Sanghavi · Alex Dimakis
Poster
Tue 17:30 Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees
Ruqi Zhang · Christopher De Sa
Poster
Tue 10:45 Likelihood-Free Overcomplete ICA and Applications In Causal Discovery
Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao
Poster
Tue 10:45 Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber · Jiji Zhang · Elias Bareinboim
Workshop
Sat 11:00 Contributed Talk 1: A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units
Adi Szeskin